Stratum Corneum Hydration as a Potential Marker of Response to Dupilumab in Atopic Dermatitis®: A Prospective Observational Study
Bibliographic record
Abstract
Abstract: Background : Dupilumab is an effective treatment for atopic Dermatitis® (AD) and it also restores skin barrier function. Nevertheless, early changes in epidermal barrier parameters related to sustained treatment response or treatment failure are not known. So, the objective of this study is to evaluate whether changes in skin barrier function after 16 weeks dupilumab treatment could predict sustained treatment response or treatment failure. Materials and Methods : A prospective observational study was conducted that included patients with AD starting dupilumab. Clinical scores, patient-reported outcome measures (PROMs), and skin barrier function parameters were assessed at baseline and after 16 weeks treatment. Patients were followed until they failed to dupilumab or until the end of the study period. Participants were divided into 2 groups: patients with treatment failure and those with sustained treatment response. Results: In total, 32 patients with AD were included in the study, with a mean age of 28.03 years (standard deviation 10.65), being 20 (60.6%) females. In total, 22 (66.7%) patients sustained dupilumab response during the study period and only 10 (33.3%) failed to treatment. After 16 weeks treatment, clinical scores were improved in both groups. Patients with sustained treatment response increased stratum corneum hydration (SCH) on noninvolved skin (34.25 arbitrary units [AU] vs 44.90AU, P = 0.001) and on eczematous lesions (20.71 AU vs 40.94 AU, P < 0.001) and also decreased transepidermal water loss (TEWL) on eczematous lesions (28.22 g/[m 2 ·h] vs 14.83 g/[m 2 ·h], P = 0.002). Patients with treatment failure did not change TEWL or SCH. SCH after 16 weeks treatment on noninvolved skin (odds ratio [OR] = 0.83, P = 0.018) and SCH after 16 weeks treatment on eczematous lesions (OR = 0.86, P = 0.028) were related to dupilumab failure. Conclusion : SCH could be used as a predictive biomarker of dupilumab response in patients with AD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".